Finding ways to identify when non-Hodgkin lymphoma comes back using electronic health records.
Official title: Identifying Recurrent Non-Hodgkin Lymphoma in Electronic Health Data
Funded at Univ of Massachusetts Med Sch Worcester · NIH-10424952 · Data updated 2026-11-12
This study is working on new ways to use health records to better spot when non-Hodgkin lymphoma comes back, especially for those with diffuse large B-cell lymphoma or follicular lymphoma, so that patients can get better care and monitoring.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of Massachusetts Med Sch Worcester NIH-funded |
| Lab location | 1 site (Worcester, United States) |
| Project start | September 14, 2022 |
| Project end | March 31, 2026 |
| Funding year | 2022 |
| Award (this year) | $442,176 |
| NIH project number | 1R21CA269425-01 |
| Project ID | NIH-10424952 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals aged 18 and older who have been diagnosed with diffuse large B-cell lymphoma or follicular lymphoma.
✕Less likely to help
Patients with other types of cancer or those who have not been diagnosed with non-Hodgkin lymphoma may not benefit from this research.
What this research studies
This research aims to develop innovative algorithms that utilize electronic health records (EHRs) to accurately identify recurrences of non-Hodgkin lymphoma (NHL), specifically focusing on two common types: diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL). By employing both rule-based and machine learning approaches, the study will analyze data from diverse healthcare systems to uncover patterns and risk factors associated with lymphoma recurrence. This could lead to improved monitoring and treatment strategies for patients who have been diagnosed with NHL.
Why it matters
Potential benefit: If successful, this research could enhance the ability to detect lymphoma recurrences early, leading to better patient outcomes and tailored treatment plans.
How similar studies have gone: Other research has successfully utilized electronic health records to improve cancer outcome tracking, indicating that this approach has potential for success.
Where this research is happening
-
Univ of Massachusetts Med Sch Worcester
Worcester, United States Active
Researchers
- Principal investigator: Epstein, Mara Meyer — Univ of Massachusetts Med Sch Worcester
- Study coordinator: Epstein, Mara Meyer
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.